Latest News & Updates

AI-Based Modeling for Energy-Efficient Buildings Challenge

Join the ELIAS AI-Based Modeling for Energy-Efficient Buildings Challenge to build cutting-edge Machine Learning (ML) methods for modeling
Heating, Ventilation and Air Conditioning (HVAC) systems of real buildings, and optimising their energy efficiency. Work with real-world building data and compete on Kaggle. Open to all -academics, startups, and professionals.

Exploring the Future of Foundation Models: Key Insights from the TDW on Foundation Models

At the workshop on Foundation Models, researchers and innovators explored the future of large-scale AI systems like GPT-4 and CLIP. The event highlighted Europe’s push for open, multilingual, and ethically aligned alternatives, featuring models such as NeoBabel, OpenCLIP, and TabPFN. With a focus on transparency, inclusion, and sovereignty, the workshop showed that Europe is actively shaping the next generation of AI.

AI Launchpad Batch #2

Scale your AI startup across Europe with AI Launchpad 2.0.
The Fall 2025 season is now open for nominations — connect with top AI hubs, investors, and industry leaders through a curated, cross-border program designed for founders ready to go from research to real markets.

📅 Deadline: August 31, 2025 at 23:59 CET

AI for Trade Challenge

The AI for Trade Global Challenge is an international competition calling on data scientists, economists, and machine learning experts to reimagine the future of global trade forecasting. Participants will develop predictive models to forecast the trade flows of the United States and China for October 2025—specifically, estimating dollar trade values for the top 200 exports and imports (at the HS4 product level) with the top 20 trading partners.

Call for Nominations: ELLIS Fellows & Scholars 2025

ELLIS is seeking nominations for outstanding AI researchers—senior Fellows and early-career Scholars—shaping Europe’s AI future. Fellowships, supported by the ELIAS project, recognize scientific excellence, societal impact, and community engagement. Deadline: 30 September 2025.

ELIAS Reveals the Winners of Its First Open Call: Pioneering AI Solutions for a Sustainable Future

Press Release – ELIAS announces the winners of its first Open Call, funding four innovative AI projects tackling key sustainability challenges across Europe. These projects will receive support to develop solutions for a greener, fairer future.

ELIAS Strengthens Interdisciplinary AI Research Through ELLIS PhD Program

The European Lighthouse of AI for Sustainability (ELIAS) is shaping the next generation of AI researchers—through the ELLIS PhD Program—by uniting cutting-edge technical training with ethical responsibility and a focus on sustainable impact.

ELIAS & IRCAI at GITEX Europe 2025: Workshop on Responsible AI and SDG Innovation

From 21 to 23 May 2025, the ELIAS project was prominently featured at the inaugural GITEX Europe in Berlin, joining forces with the IRCAI, International Research Centre on Artificial Intelligence under the auspices of UNESCO, to spotlight the intersection of Responsible AI and the Sustainable Development Goals (SDGs).

Atmospheric Machine Learning Emulation Challenge (AMLEC)

The Atmospheric Machine Learning Emulation Challenge (AMLEC) invites researchers, data scientists, and practitioners in the fields of remote sensing, climate science, and artificial intelligence to contribute solutions to a key computational challenge in atmospheric modelling. Organised by Jorge Vicent Servera, Gustau Camps Valls, Cesar Aybar, and Julio Contreras from the Image and Signal Processing Group (ISP) at the University of Valencia, AMLEC focuses on advancing surrogate modelling and physics-informed AI in the context of Radiative Transfer Models (RTMs).

Exploring the Future of Sustainability and AI

On 7 March 2025, the ELIAS project held its first Theme Development Workshop in Bucharest on Sustainability & AI. The hybrid event brought together experts, researchers, industry leaders, and students to explore how AI can tackle environmental and societal challenges through presentations, discussions, and expert insights.

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News & Updates

Exploring the Future of Foundation Models: Key Insights from the TDW on Foundation Models

Exploring the Future of Foundation Models: Key Insights from the TDW on Foundation Models

At the workshop on Foundation Models, researchers and innovators explored the future of large-scale AI systems like GPT-4 and CLIP. The event highlighted Europe’s push for open, multilingual, and ethically aligned alternatives, featuring models such as NeoBabel, OpenCLIP, and TabPFN. With a focus on transparency, inclusion, and sovereignty, the workshop showed that Europe is actively shaping the next generation of AI.

Call for Nominations: ELLIS Fellows & Scholars 2025

Call for Nominations: ELLIS Fellows & Scholars 2025

ELLIS is seeking nominations for outstanding AI researchers—senior Fellows and early-career Scholars—shaping Europe’s AI future. Fellowships, supported by the ELIAS project, recognize scientific excellence, societal impact, and community engagement. Deadline: 30 September 2025.

Exploring the Future of Sustainability and AI

Exploring the Future of Sustainability and AI

On 7 March 2025, the ELIAS project held its first Theme Development Workshop in Bucharest on Sustainability & AI. The hybrid event brought together experts, researchers, industry leaders, and students to explore how AI can tackle environmental and societal challenges through presentations, discussions, and expert insights.

Newsletters

Edition #1 | February 24

Discovering the Path to Sustainable AI Innovation in Europe

Edition #2 | August 24

One Year In: Unveiling Key Achievements and Upcoming Opportunities

Edition #3 | February 25

Shaping the Future: AI, Sustainability, and Collaboration with ELIAS

Edition #4 | August 25

From Research to Impact: Sustainable AI in Action

Opportunities

ELIAS 1st Open Call

ELIAS 1st Open Call

Join ELIAS for a 6-month project funded by the European Union and receive: ♦ Up to € 60.000 (lump sum) to develop AI/Machine Learning applications...

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